ecs.hfr6.8xlarge by Alibaba Cloud

ecs.hfr6.8xlarge is a ecs.hfr6 family (32 vCPUs, 256 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 32 vCPUs, 256 GiB of memory and 0 GB of storage. The pricing starts at 0.2889 USD per hour.
32 vCPU
256 GiB Memory
Spare SCore
30,656
(All-cores)
1,437
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.hfr6.8xlarge
Description
ecs.hfr6 family (32 vCPUs, 256 GiB RAM, 0 GB storage)
Family
ecs.hfr6
Hw Virt
Status
active
Observed At
2026-10-24T00:57:06.619851

Availability

REGION / IDSPOTONDEMAND
Chengdu (CN) / cn-chengdu
0.3088 USD/h 1.6251 USD/h
Ulanqab (CN) / cn-wulanchabu
- 1.6251 USD/h
Shenzhen (CN) / cn-shenzhen
0.2889 USD/h 1.8057 USD/h
Guangzhou (CN) / cn-guangzhou
0.3431 USD/h 1.8057 USD/h
Shanghai (CN) / cn-shanghai
0.3431 USD/h 1.8057 USD/h
Beijing (CN) / cn-beijing
- 1.8057 USD/h
Hangzhou (CN) / cn-hangzhou
- 1.8057 USD/h
Heyuan (CN) / cn-heyuan
- 1.806 USD/h
Virginia (US) / us-east-1
0.4074 USD/h 2.144 USD/h
London (GB) / eu-west-1
0.4803 USD/h 2.528 USD/h
Tokyo (JP) / ap-northeast-1
0.4925 USD/h 2.592 USD/h
Jakarta (ID) / ap-southeast-5
0.4925 USD/h 2.592 USD/h
Hong Kong (HK) / cn-hongkong
0.5411 USD/h 2.848 USD/h
Riyadh (SA) / me-central-1
- 3.1104 USD/h

Processor

vCPUs
32
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
16
CPU Speed
3.1 GHz
CPU Architecture
x86_64
CPU Manufacturer
Intel
CPU Family
Xeon
CPU Model
8269CY
CPU L1D Cache
32 KiB
CPU L1D Cache Total
512 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
512 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
16 MiB
CPU L3 Cache
36 MiB
CPU L3 Cache Total
36 MiB
CPU Flags
fpu, vme, de, pse, tsc, msr, pae, mce, cx8, apic, sep, mtrr, pge, mca, cmov, pat, pse36, clflush, mmx, fxsr, sse, sse2, ss, ht, syscall, nx, pdpe1gb, rdtscp, lm, constant_tsc, rep_good, nopl, xtopology, nonstop_tsc, cpuid, aperfmperf, tsc_known_freq, pni, pclmulqdq, monitor, ssse3, fma, cx16, pcid, sse4_1, sse4_2, x2apic, movbe, popcnt, aes, xsave, avx, f16c, rdrand, hypervisor, lahf_lm, abm, 3dnowprefetch, pti, fsgsbase, tsc_adjust, bmi1, avx2, smep, bmi2, erms, invpcid, avx512f, avx512dq, rdseed, adx, smap, clflushopt, clwb, avx512cd, avx512bw, avx512vl, xsaveopt, xsavec, xgetbv1, xsaves, ida, arat, avx512_vnni
Ecpus
21.3
Scalability
66.56

System Resources and Accelerators

MEMORY
Memory Amount
256 GiB
Memory Amount Actual
256 GiB
ACCELERATORS
Accelerator Count
0
Accelerator Memory Min
0 MiB
Accelerator Memory Total
0 MiB
Accelerators
    STORAGE
    Storage Size
    0 GB
    Storages
      NETWORK
      Network Speed Baseline
      10 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      A memory-optimized virtual server featuring dedicated Intel Xeon processors and a high memory-to-vCPU ratio for demanding in-memory workloads.

      Memory OptimizedGeneral Purpose

      Alibaba Cloud ecs.hfr6.8xlarge is a memory-optimized instance featuring 32 dedicated vCPUs and 256.0 GB of RAM, powered by an Intel Xeon 8269CY processor running at 3.1 GHz. Built on the KVM hypervisor, this x86_64 instance provides a high memory-to-core ratio of 8.0 GB per vCPU, making it highly suitable for memory-intensive applications. It lacks local storage and GPU accelerators, utilizing a 10 Gbps baseline network bandwidth for external communications. Benchmark results indicate stable mid-range performance, with a Redis SET throughput of 28.86 million operations per second and a multi-core stress-ng score of 30656.07. The instance is qualitatively cost-effective for workloads requiring large memory capacities without the need for high-speed local storage. It is best suited for in-memory databases, caching layers, enterprise applications, and data processing tasks.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      1.4Score
      Precomputed compound score for Cache Intensive workloads. A weighted average (geometric mean) of benchmark scores compared to their medians: score = ∏ (x_i / m_i)^(w_i / Σw). The score of 1.0 represents a synthetic baseline server with the median performance of each component benchmark; 0.5 means roughly half the performance; and 2.0 means twice the performance of that reference profile. Component weights: 50% Redis RPS (pipeline=1, SET), 20% Redis RPS (pipeline=16, SET), 10% PassMark Memory Mark (composite), 10% Memory bandwidth (read, 16 MB ~ L3), 10% PassMark single-thread CPU. Rationale for component selection: In-memory key-value store workload, mixing direct Redis performance metrics with memory speed and latency benchmarks, and single-core CPU performance profiles.
      Component Score Weight Impact
      Raw Reference Normalized Target Actual
      Redis RPS (pipeline=1, SET) 3,110,015 ops/sec 1,919,289 ops/sec 1.6 50.00% 50.00% +26.00%
      Redis RPS (pipeline=16, SET) 17,478,393 ops/sec 11,728,058 ops/sec 1.4 20.00% 20.00% +7.00%
      PassMark Memory Mark (composite) 2,634 2,416 1.1 10.00% 10.00% +0.96%
      Memory bandwidth (read, 16 MB ~ L3) 120,401 MB/sec 108,466 MB/sec 1.1 10.00% 10.00% +0.96%
      PassMark single-thread CPU 2,161 Mops/s 2,365 Mops/s 0.92 10.00% 10.00% -0.83%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,282

      Geekbench Multi-Core

      Score: 11,147

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 29,576
      Compression
      		 469,720
      Encryption
      		 14,159
      Extended Instructions
      		 28,430
      Floating Point Maths
      		 55,013
      Integer Maths
      		 102,658
      Physics
      		 2,420
      Prime Numbers
      		 145
      Single Threaded
      		 2,161
      String Sorting
      		 61,965

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2,634
      Database Operations
      		 11,531
      Memory Latency
      		 52
      Memory Read Cached
      		 24,636
      Memory Read Uncached
      		 10,013
      Memory Write
      		 9,848

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      		 235.07 227.16 0.97×
      bitops
      		 126,025 2,247,540 17.83×
      branch
      		 158,457 3,852,265 24.31×
      funccall
      		 581.91 9,808 16.85×
      funcret
      		 11,801 275,210 23.32×
      hash
      		 134,519 3,173,376 23.59×
      intmath
      		 23,277 566,172 24.32×
      nop
      		 196,527 2,729,488 13.89×
      prime
      		 332,798 5,942,489 17.86×
      rotate
      		 99,378 2,018,332 20.31×
      str
      		 853,663 16,462,879 19.28×
      wcs
      		 548,676 9,354,381 17.05×
      CryptographySingleMultiScaling
      crypt
      		 2,501 39,192 15.67×
      CompressionSingleMultiScaling
      jpeg
      		 609.78 11,911 19.53×
      zlib
      		 37.42 1,350 36.08×
      HypervisorSingleMultiScaling
      clock
      		 16,511 274,019 16.60×
      clone
      		 464.52 6,697 14.42×
      context
      		 1,934 41,367 21.39×
      cpu-sched
      		 55.24 2,078 37.63×
      eventfd
      		 90,719 995,546 10.97×
      fault
      		 13,993 210,519 15.04×
      fork
      		 4,128 68,833 16.67×
      getrandom
      		 46,263 919,278 19.87×
      hrtimers
      		 436,938 2,785,807 6.38×
      mprotect
      		 1,119,823 4,936,620 4.41×
      mtx
      		 13,483,015 929,751,476 68.96×
      munmap
      		 2,931 50,539 17.24×
      null
      		 214,002 4,136,925 19.33×
      pipe
      		 907,598 7,536,521 8.30×
      priv-instr
      		 446,931 9,127,549 20.42×
      resched
      		 5,112,031 3,028,311 0.59×
      switch
      		 176,580 4,223,559 23.92×
      timermix
      		 315,887 8,103,498 25.65×
      tlb-shootdown
      		 10,834 58,602 5.41×
      tsc
      		 1,024,509 23,060,878 22.51×
      usersyscall
      		 312,455 6,352,334 20.33×
      vdso
      		 83,411,078 2,360,130,936 28.30×
      vfork
      		 30,727 153,318 4.99×
      x86syscall
      		 2,347,418 46,071,623 19.63×
      yield
      		 16,437,846 18,210,813 1.11×
      zero
      		 1,580,025 30,191,602 19.11×
      CPU float/SIMDSingleMultiScaling
      eigen
      		 16,693 325,429 19.49×
      expmath
      		 2,755 67,936 24.66×
      fma
      		 605,029 15,874,096 26.24×
      fp
      		 124.8 3,030 24.28×
      fractal
      		 5 119.22 23.84×
      hyperbolic
      		 2,861 72,419 25.31×
      logmath
      		 4,692 113,540 24.20×
      matrix
      		 3,112 80,489 25.87×
      matrix-3d
      		 671.14 3,544 5.28×
      monte-carlo
      		 107.47 2,369 22.04×
      mpfr
      		 1,258 21,812 17.34×
      powmath
      		 1,630 40,054 24.57×
      trig
      		 1,768 38,389 21.71×
      veccmp
      		 16,031 263,423 16.43×
      vecfp
      		 1,373 27,214 19.82×
      vecmath
      		 2,246 56,943 25.35×
      vecshuf
      		 580.61 10,000 17.22×
      vecwide
      		 26,183 453,703 17.33×
      AlgorithmsSingleMultiScaling
      bitonicsort
      		 7.4 139.6 18.86×
      bsearch
      		 252.32 4,690 18.59×
      bubblesort
      		 0.8 12.8 16.00×
      fibsearch
      		 288.91 5,922 20.50×
      heapsort
      		 8.6 172.4 20.05×
      hsearch
      		 5,287 100,520 19.01×
      insertionsort
      		 8.4 134.4 16.00×
      malloc
      		 2,273,587 34,883,094 15.34×
      mcontend
      		 115.46 8,851 76.66×
      mergesort
      		 27.6 557.78 20.21×
      qsort
      		 19.4 383.79 19.78×
      skiplist
      		 5,395 121,572 22.53×
      tree
      		 1.6 19.18 11.99×
      MemorySingleMultiScaling
      cache
      		 389,807 646,702 1.66×
      cachehammer
      		 382,778 9,962,096 26.03×
      cacheline
      		 40.35 2,476 61.35×
      l1cache
      		 233.55 4,019 17.21×
      memcpy
      		 392.66 6,349 16.17×
      memrate
      		 1.37 11.85 8.65×
      memthrash
      		 239.44 858.37 3.58×
      ptr-chase
      		 35,241,702 309,990,681 8.80×
      spinmem
      		 398.39 2,667 6.69×
      stream
      		 33.58 9,057 269.70×
      vm
      		 57,827 297,324 5.14×

      Stress-ng Raw Scores

      Stress-ng Relative Multicore Performance

      LLM Inference Speed for Prompt Processing

      LLM Inference Speed for Text Generation

      Static Web Server

      Redis

      Alternatives

      Servers of the Same Family

      INSTANCEvCPUsMEMORYAccelerators
      ecs.hfr6.large 216 GiB0
      ecs.hfr6.xlarge 432 GiB0
      ecs.hfr6.2xlarge 864 GiB0
      ecs.hfr6.3xlarge 1296 GiB0
      ecs.hfr6.4xlarge 16128 GiB0
      ecs.hfr6.6xlarge 24192 GiB0
      ecs.hfr6.10xlarge 40384 GiB0

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      ecs.hfr6.8xlarge FAQs